bioRxivJClub
CloneVI: A deep generative model for deciphering the relationships between cell state and mitochondrial genotype
bioRxiv · · Preprint · Open access
Hibi, Kojima + 4 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
CloneVI infers clonal structure from a latent cell state and reconstructs mutation counts, recovering ground-truth clonal structure in simulated single-clone and mixed-clone populations.
- Why it matters: Clones are often inferred from mitochondrial mutations alone, even though cell states can be non-genetically regulated; linking state to mitochondrial genotype is key for understanding clone-driven disease.
- What they did: The model learns a latent cell state from gene expression or chromatin accessibility, then estimates per-cell clonal probabilities and clone allele frequencies by reconstructing observed mutation counts.
- The result: In chronic lymphocytic leukemia mitochondrial single-cell ATAC-seq, it separated populations with different heteroplasmy levels and identified increased PAX9 accessibility, enabling mutation-defined populations tied to cell states.
The findingWhy it mattersWhat they didThe result
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